code: def _get_column_name(name, col_user, col_item):
      if name == "user":
          return col_user
      elif name == "item":
          return col_item
      else:
          raise ValueError("name should be either 'user' or 'item'.")
  
file_path: recommenders/recommenders/datasets/split_utils.py
imports: import numpy
  import math
  import logging
  from recommenders.utils.constants import DEFAULT_ITEM_COL, DEFAULT_USER_COL
label_desc: Use image node_id 4 for calling a global function with example usage: _get_column_name(name, col_user, col_item) and returns: col_user, col_item